ECE398BD: Network Analytics (Logistics)

Contact Information

Instructor: Professor Pramod Viswanath
Office: 119 Coordinated Science Laboratory
Email: pramodv [at] illinois [dot] edu
Office Hours: By Appointment

Teaching Assistant: Jiaqi Mu
Email: jiaqimu2 [at] illinois [dot] edu
Office Hours: Wednesday 9AM - 10AM, CSL 114

Logistics

There is no required textbook – we will provide a set of notes. The notes contain pointers to relevant references. Some general references are given below.

Lab Submission: To upload your lab solution to Box, email (as an attachment) your completed IPython notebook (name it netid_lab#.ipynb) to ECE398B.ou33plgnai09l620@u.box.com. Be sure to use your illinois email account. If your code depends on any files not provided for the lab, then also upload those by including as an attachment in your email. Your email may include multiple attachments, but several emails, each with its own attachment, are OK too. Be sure to fill in your name + netid at the top of your completed IPython notebook. You should recieve a confirmation email from Box after submission (if you do not see it, check your spam folder). If you do not see it after a half hour, email the lab (i.e., send the email with the same attachments described above, which you sent to Box) to jiaqimu2 [at] illinois [dot] edu from your Illinois email account with the subject ECE398BD-NetID-Lab#. Use the same filenames you used in maling to Box. Do not send me (nor to Box) data sets that are provided to you! I'd prefer if you submitted your lab once, but if you have to resubmit a modified version, please rename it netid_v#.ipynb, where # is the number of resubmissions you have done. For example, my first submission to Box would be jiaqimu2_lab10.ipynb, and if I needed to resubmit a modified version, I would use jiaqimu2_lab10_v2.ipynb.

Grading: You will have a weekly quiz on Thursdays. These quizzes are short (approximately 20 minutes) and are designed to test the concepts you have learned and will be posted one day before the lecture (i.e. Wednesday night). The quizzes are closed-book and closed-notes. You may bring a ruler. Electronic devices (calculators, cellphones, pagers, laptops, headphones, etc.) are neither necessary nor permitted. The quizzes form 30% of your grade. No collaboration is allowed during the quizzes. The labs will form the remaining 70% of your grade. Each lab will be weighted equally. If you have a request for re-grading, the request must be submitted in writing within a week of the lab being returned to you. It should have a clear explanation of what you would like to be looked at again. Grades will be posted on Compass.

Late Policy: There is no late policy for all labs in Network Analytics. No late submissions will be accepted.

There are no exceptions to these policies beyond the standard policies of the university (e.g. disability accomodations, serious illness, etc.). If you need an exception, please contact Prof. Viswanath.

These policies apply only to the “ Network Analytics” section of the course.

General References

You do not need any of the following books, but they may be useful to expand on some of the topics seen in class. Most of the course material is covered in the first book. The second book is essentially a simplified version of the first book.

  • David Easley, Jon Kleinberg, and Eva Tardos, Networks, crowds and markets, edX online course, [link]

  • Lada Adamic, Social and information netowrk analysis, CS 224W at Stanford, [link]

  • Devavrat Shah and Tauhid Zaman, Rumors in a network: who's the culprit?, Information Theory, IEEE Transactions on, IEEE 2011, pp. 5163-5181, [link]

  • Santo Fortunato, Community detection in graphs, [http:arxiv.orgabs0906.0612 [link]